import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					DownBlockaD  # noqa F405
 __A			       =					'''down'''







 def 		__UpperCAmelCase				(		self				:   Any)						->	str:


   """simple docstring"""







   _UpperCamelCase           =    [-0.02_32, -0.98_69, 0.80_54, -0.06_37, -0.16_88, -1.42_64, 0.44_70, -1.33_94, 0.09_04]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					ResnetDownsampleBlockaD  # noqa F405
 __A			       =					'''down'''







 def 		__UpperCAmelCase				(		self				:   List[str])						->	int:


   """simple docstring"""







   _UpperCamelCase           =    [0.07_10, 0.24_10, -0.73_20, -1.07_57, -1.13_43, 0.35_40, -0.01_33, -0.25_76, 0.09_48]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					AttnDownBlockaD  # noqa F405
 __A			       =					'''down'''







 def 		__UpperCAmelCase				(		self				:   Any)						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    [0.06_36, 0.89_64, -0.62_34, -1.01_31, 0.08_44, 0.49_35, 0.34_37, 0.09_11, -0.29_57]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					CrossAttnDownBlockaD  # noqa F405
 __A			       =					'''down'''







 def 		__UpperCAmelCase				(		self				:   int)						->	List[str]:


   """simple docstring"""







   _UpperCamelCase      ,						_UpperCamelCase           =    super().prepare_init_args_and_inputs_for_common()
   _UpperCamelCase           =    32
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    [0.22_38, -0.73_96, -0.22_55, -0.38_29, 0.19_25, 1.16_65, 0.06_03, -0.72_95, 0.19_83]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					SimpleCrossAttnDownBlockaD  # noqa F405
 __A			       =					'''down'''







 @property
 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	str:


   """simple docstring"""







   return super().get_dummy_input(include_encoder_hidden_states=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Tuple)						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase      ,						_UpperCamelCase           =    super().prepare_init_args_and_inputs_for_common()
   _UpperCamelCase           =    32
   return init_dict, inputs_dict







 @unittest.skipIf(torch_device == "mps"							, "MPS result is not consistent")
 def 		__UpperCAmelCase				(		self				:   str)						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    [0.79_21, -0.09_92, -0.19_62, -0.76_95, -0.42_42, 0.78_04, 0.47_37, 0.27_65, 0.33_38]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					SkipDownBlockaD  # noqa F405
 __A			       =					'''down'''







 @property
 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	Dict:


   """simple docstring"""







   return super().get_dummy_input(include_skip_sample=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Optional[int])						->	Any:


   """simple docstring"""







   _UpperCamelCase           =    [-0.08_45, -0.20_87, -0.24_65, 0.09_71, 0.19_00, -0.04_84, 0.26_64, 0.41_79, 0.50_69]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					AttnSkipDownBlockaD  # noqa F405
 __A			       =					'''down'''







 @property
 def 		__UpperCAmelCase				(		self				:   Optional[int])						->	Tuple:


   """simple docstring"""







   return super().get_dummy_input(include_skip_sample=lowercase_)







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase           =    [0.55_39, 0.16_09, 0.49_24, 0.05_37, -0.19_95, 0.40_50, 0.09_79, -0.27_21, -0.06_42]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					DownEncoderBlockaD  # noqa F405
 __A			       =					'''down'''







 @property
 def 		__UpperCAmelCase				(		self				:   int)						->	str:


   """simple docstring"""







   return super().get_dummy_input(include_temb=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Dict)						->	Dict:


   """simple docstring"""







   _UpperCamelCase           =    {
       "in_channels": 32,
       "out_channels": 32,
   }
   _UpperCamelCase           =    self.dummy_input
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   str)						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    [1.11_02, 0.53_02, 0.48_72, -0.00_23, -0.80_42, 0.04_83, -0.34_89, -0.56_32, 0.76_26]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					AttnDownEncoderBlockaD  # noqa F405
 __A			       =					'''down'''







 @property
 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	Optional[Any]:


   """simple docstring"""







   return super().get_dummy_input(include_temb=lowercase_)







 def 		__UpperCAmelCase				(		self				:   str)						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    {
       "in_channels": 32,
       "out_channels": 32,
   }
   _UpperCamelCase           =    self.dummy_input
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	str:


   """simple docstring"""







   _UpperCamelCase           =    [0.89_66, -0.14_86, 0.85_68, 0.81_41, -0.90_46, -0.13_42, -0.09_72, -0.74_17, 0.15_38]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					UNetMidBlockaD  # noqa F405
 __A			       =					'''mid'''







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	str:


   """simple docstring"""







   _UpperCamelCase           =    {
       "in_channels": 32,
       "temb_channels": 128,
   }
   _UpperCamelCase           =    self.dummy_input
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   Optional[int])						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    [-0.10_62, 1.72_48, 0.34_94, 1.45_69, -0.09_10, -1.24_21, -0.99_84, 0.67_36, 1.00_28]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					UNetMidBlockaDCrossAttn  # noqa F405
 __A			       =					'''mid'''







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	Tuple:


   """simple docstring"""







   _UpperCamelCase      ,						_UpperCamelCase           =    super().prepare_init_args_and_inputs_for_common()
   _UpperCamelCase           =    32
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   Dict)						->	Dict:


   """simple docstring"""







   _UpperCamelCase           =    [0.01_87, 2.42_20, 0.44_84, 1.12_03, -0.61_21, -1.51_22, -0.82_70, 0.78_51, 1.83_35]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					UNetMidBlockaDSimpleCrossAttn  # noqa F405
 __A			       =					'''mid'''







 @property
 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	Tuple:


   """simple docstring"""







   return super().get_dummy_input(include_encoder_hidden_states=lowercase_)







 def 		__UpperCAmelCase				(		self				:   List[str])						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase      ,						_UpperCamelCase           =    super().prepare_init_args_and_inputs_for_common()
   _UpperCamelCase           =    32
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	Dict:


   """simple docstring"""







   _UpperCamelCase           =    [0.71_43, 1.99_74, 0.54_48, 1.39_77, 0.12_82, -1.12_37, -1.42_38, 0.55_30, 0.88_80]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					UpBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Optional[Any])						->	List[Any]:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Optional[int])						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    [-0.20_41, -0.41_65, -0.30_22, 0.00_41, -0.66_28, -0.70_53, 0.19_28, -0.03_25, 0.05_23]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					ResnetUpsampleBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Any)						->	Tuple:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	List[str]:


   """simple docstring"""







   _UpperCamelCase           =    [0.22_87, 0.35_49, -0.13_46, 0.47_97, -0.17_15, -0.96_49, 0.73_05, -0.58_64, -0.62_44]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					CrossAttnUpBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	List[Any]:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_)







 def 		__UpperCAmelCase				(		self				:   str)						->	List[str]:


   """simple docstring"""







   _UpperCamelCase      ,						_UpperCamelCase           =    super().prepare_init_args_and_inputs_for_common()
   _UpperCamelCase           =    32
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   List[str])						->	Optional[Any]:


   """simple docstring"""







   _UpperCamelCase           =    [-0.14_03, -0.35_15, -0.04_20, -0.14_25, 0.31_67, 0.50_94, -0.21_81, 0.59_31, 0.55_82]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					SimpleCrossAttnUpBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Dict)						->	Dict:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_							, include_encoder_hidden_states=lowercase_)







 def 		__UpperCAmelCase				(		self				:   List[Any])						->	str:


   """simple docstring"""







   _UpperCamelCase      ,						_UpperCamelCase           =    super().prepare_init_args_and_inputs_for_common()
   _UpperCamelCase           =    32
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   Dict)						->	str:


   """simple docstring"""







   _UpperCamelCase           =    [0.26_45, 0.14_80, 0.09_09, 0.80_44, -0.97_58, -0.90_83, 0.09_94, -1.14_53, -0.74_02]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					AttnUpBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   List[Any])						->	int:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_)







 @unittest.skipIf(torch_device == "mps"							, "MPS result is not consistent")
 def 		__UpperCAmelCase				(		self				:   List[str])						->	List[Any]:


   """simple docstring"""







   _UpperCamelCase           =    [0.09_79, 0.13_26, 0.00_21, 0.06_59, 0.22_49, 0.00_59, 0.11_32, 0.59_52, 0.10_33]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					SkipUpBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Dict)						->	int:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Tuple)						->	Tuple:


   """simple docstring"""







   _UpperCamelCase           =    [-0.08_93, -0.12_34, -0.15_06, -0.03_32, 0.01_23, -0.02_11, 0.05_66, 0.01_43, 0.03_62]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					AttnSkipUpBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Any)						->	str:


   """simple docstring"""







   return super().get_dummy_input(include_res_hidden_states_tuple=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Any)						->	Dict:


   """simple docstring"""







   _UpperCamelCase           =    [0.03_61, 0.06_17, 0.27_87, -0.03_50, 0.03_42, 0.34_21, -0.08_43, 0.09_13, 0.30_15]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					UpDecoderBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Dict)						->	Any:


   """simple docstring"""







   return super().get_dummy_input(include_temb=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Union[str, Any])						->	int:


   """simple docstring"""







   _UpperCamelCase           =    {"in_channels": 32, "out_channels": 32}

   _UpperCamelCase           =    self.dummy_input
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   int)						->	str:


   """simple docstring"""







   _UpperCamelCase           =    [0.44_04, 0.19_98, -0.98_86, -0.33_20, -0.31_28, -0.70_34, -0.69_55, -0.23_38, -0.31_37]
   super().test_output(lowercase_)




class 					_UpperCAmelCase			(     lowerCAmelCase,			unittest.TestCase  ):



 '''simple docstring'''




 __A			       =					AttnUpDecoderBlockaD  # noqa F405
 __A			       =					'''up'''







 @property
 def 		__UpperCAmelCase				(		self				:   Tuple)						->	Optional[int]:


   """simple docstring"""







   return super().get_dummy_input(include_temb=lowercase_)







 def 		__UpperCAmelCase				(		self				:   Optional[int])						->	Optional[int]:


   """simple docstring"""







   _UpperCamelCase           =    {"in_channels": 32, "out_channels": 32}

   _UpperCamelCase           =    self.dummy_input
   return init_dict, inputs_dict







 def 		__UpperCAmelCase				(		self				:   List[str])						->	Tuple:


   """simple docstring"""







   _UpperCamelCase           =    [0.67_38, 0.44_91, 0.10_55, 1.07_10, 0.73_16, 0.33_39, 0.33_52, 0.10_23, 0.35_68]
   super().test_output(lowercase_)





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase__  =					{
    '''configuration_longformer''': [
        '''LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''LongformerConfig''',
        '''LongformerOnnxConfig''',
    ],
    '''tokenization_longformer''': ['''LongformerTokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					['''LongformerTokenizerFast''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''LongformerForMaskedLM''',
       '''LongformerForMultipleChoice''',
       '''LongformerForQuestionAnswering''',
       '''LongformerForSequenceClassification''',
       '''LongformerForTokenClassification''',
       '''LongformerModel''',
       '''LongformerPreTrainedModel''',
       '''LongformerSelfAttention''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__  =					[
       '''TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''TFLongformerForMaskedLM''',
       '''TFLongformerForMultipleChoice''',
       '''TFLongformerForQuestionAnswering''',
       '''TFLongformerForSequenceClassification''',
       '''TFLongformerForTokenClassification''',
       '''TFLongformerModel''',
       '''TFLongformerPreTrainedModel''',
       '''TFLongformerSelfAttention''',
   ]


if TYPE_CHECKING:
   from .configuration_longformer import (
       LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       LongformerConfig,
       LongformerOnnxConfig,
   )
   from .tokenization_longformer import LongformerTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_longformer_fast import LongformerTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_longformer import (
          LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          LongformerForMaskedLM,
          LongformerForMultipleChoice,
          LongformerForQuestionAnswering,
          LongformerForSequenceClassification,
          LongformerForTokenClassification,
          LongformerModel,
          LongformerPreTrainedModel,
          LongformerSelfAttention,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_longformer import (
          TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFLongformerForMaskedLM,
          TFLongformerForMultipleChoice,
          TFLongformerForQuestionAnswering,
          TFLongformerForSequenceClassification,
          TFLongformerForTokenClassification,
          TFLongformerModel,
          TFLongformerPreTrainedModel,
          TFLongformerSelfAttention,
      )

else:
   import sys

   lowerCamelCase__  =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




